Faculty Profiles

Liu, Z., Lee, S., & Chih, Y.-Y. (n.d.). Computerization and the decline of unincorporated self-employment. Journal of Human Capital, 19(4). https://doi.org/https://www.journals.uchicago.edu/doi/10.1086/735105

Sheng, Y., Yang, X., Chih, Y.-Y., & Zhang, J. (2024). Foreign direct investment spillovers and regional innovation in China: The spatial moderating role of absorptive capacity. Review of Development Economics, 28(4), 1803–1837. https://doi.org/http://doi.org/10.1111/rode.13122

Feng, L., Chih, Y.-Y., Gai, Y., & MacDonald, L. (2024). The Impact of Developing Hispanic-Serving Institution Program on College Persistence, Completion Rates, and Student Debt (Vol. CESifo Working Paper No. 11392). Munich, Germany, Germany: CESifo Working Papers ISSN 2364-1428 (electronic version). Retrieved from https://www.cesifo.org/node/83097

Chih, Y.-Y., Demir, F., Hu, C., Liu, J., & Shen, H. (2023). A spatial analysis of local corruption on foreign direct investment: Evidence from Chinese cities. European Journal of Political Economy, 79. https://doi.org/https://doi.org/10.1016/j.ejpoleco.2023.102443

LeSage, J. (2023). Applied Spatial Econometrics: A Panel Data Toolbox for MATLAB. (Y. Sheng & Y.-Y. Chih, Trans.). Beijing, China: Peking University Press.

Chih, Y.-Y., Kishan, R. P., & Ojede, A. (2022). Be Good to Thy Neighbors: A Spatial Analysis of Foreign Direct Investment and Economic Growth in Sub-Saharan Africa. The World Economy, 45(3), 657–701. https://doi.org/DOI: 10.1111/twec.13167

Alexeev, M., & Chih, Y.-Y. (2021). Energy price shocks and economic growth in the US: A state-level analysis. Energy Economics, 98. https://doi.org/https://doi.org/10.1016/j.eneco.2021.105242

Chih, Y.-Y., & LeSage, J. (2021). Heterogeneous coefficient spatial regression panel models. In Handbook of Regional Science (pp. 2219–2236). Berlin, Heidelberg, Germany: Springer. https://doi.org/10.1007/978-3-662-60723-7_121

LeSage, J., Chih, Y.-Y., & Vance, C. (2019). Markov Chain Monte Carlo estimation of spatial dynamic panel models for large samples. Computational Statistics & Data Analysis, 138, 107–125.

Chih, Y.-Y. (2018). Status competition and benevolence in social networks. Oxford Economic Papers, 70(1), 141–162. https://doi.org/https://doi.org/10.1093/oep/gpx034

LeSage, J., & Chih, Y.-Y. (2018). A matrix exponential spatial panel model with heterogeneous coefficients. Geographical Analysis, 50(4), 422–453.

LeSage, J., & Chih, Y.-Y. (2018). A Bayesian spatial panel model with heterogenous coefficients. Regional Science & Urban Economics, 72, 58–73.

LeSage, J., Vance, C., & Chih, Y.-Y. (2017). A Bayesian heterogeneous coefficients spatial autoregressive panel data model of retail fuel duopoly pricing. Regional Science & Urban Economics, 62, 46–55.

Charles, J. S. J., & Chih, Y.-Y. (2016). Delinquency Reinforcement and Balance: Is Exposure to Delinquent Peers Always Risky? BE Journal of Economic Analysis and Policy, 16(4). Retrieved from https://www.degruyter.com/view/j/bejeap.2016.16.issue-4/issue-files/bejeap.2016.16.issue-4.xml

Chih, Y.-Y. (2016). Social Network Structure and Government Provision Crowding-out on Voluntary Contributions. Journal of Behavioral and Experimental Economics, 63, 83–90. Retrieved from http://www.sciencedirect.com/science/article/pii/S2214804316300520

LeSage, J., & Chih, Y.-Y. (2016). Interpreting heterogeneous coefficient spatial autoregressive panel models. Economics Letters, 142, 1–5. Retrieved from www.elsevier.com/locate/ecolet

Alexeev, M., & Chih, Y.-Y. (2015). Social Network Structure and Status Competition. Canadian Journal of Economics, 48(1), 64–82.

Pao, H.-T., & Chih, Y.-Y. (2006). Comparison of TSCS Regression and Neural Network Models for Panel Data Forecasting. Neural Computing & Applications, 15(2).